Modern military operations require secure, high-bandwidth, and resilient offline communication systems that can function without SIM cards, Wi-Fi, or satellite networks. Current solutions, such as SINCGARS radios and LoRaWAN, have bandwidth and security limitations, making them vulnerable to jamming and cyberattacks. A robust and secure data transfer system that operates in contested environments is essential for mission success.

Detailed Description:

The goal is to develop a highly secure, offline data transfer system that can facilitate communication in jamming-prone and network-denied environments while ensuring zero leakage of personnel details such as location, identity, or mission-critical data. The system should include:

Key Capabilities:

1. Direct Bluetooth or Wi-Fi (ESP32) to LoRa Communication
   • The mobile device communicates with the ESP32-LoRa module using Bluetooth (BLE) or Wi-Fi (ESP-Now/SoftAP).
   • The ESP32-LoRa module acts as a gateway, taking the message from the mobile and transmitting it over LoRa to another LoRa device.
   • On the receiving end, another ESP32-LoRa node decodes the message and forwards it to a connected mobile device.
2. Communication Methods
   • Mobile App → Bluetooth/Wi-Fi → ESP32-LoRa → LoRa Network → ESP32-LoRa → Receiving Mobile
   • Encrypted Text Messaging, Alerts, and GPS Location Sharing

Expected Outcomes:

• A fully functional secure offline data transfer system capable of operating without SIM cards and Wi-Fi ensuring robust communication for military operations in network-denied environments while guaranteeing no personnel data or location leakage.

Background:

Traditional identity management systems rely on centralized authorities (governments, banks, and corporations) to issue, verify, and store user identities. This leads to several security and privacy risks, such as identity theft, unauthorized access, data breaches, and lack of user control over personal information. Moreover, users are often required to share more personal data than necessary for identity verification (e.g., sharing an entire ID document to prove age).

Self-Sovereign Identity (SSI) allows users to control and share only necessary identity attributes without relying on third-party intermediaries. The challenge is to develop a mobile application that enables secure, identity verification while maintaining user privacy and control.

Objectives:

• Develop a mobile app for Academic Credential Verification that allows users to create, store, and manage student Self-Sovereign Identities (SSI).
• Implement best possible solution to allow users to prove attributes (e.g., course credentials) without revealing full transcripts.

Expected Outcome:

Mobile Application

• Mobile app for creating, managing, and sharing DIDs & Verifiable Credentials.
• Secure Authentication System – Login/authentication without passwords using DID-based authentication.

Problem Statement:

Google Play Protect rigorously scans and verifies apps before they are made available to users. However, even with these stringent checks, vulnerabilities and security issues can sometimes slip through the cracks. This hackathon challenges participants to delve deep into the ecosystem of Google-approved applications and uncover potential security flaws, privacy concerns, and functional vulnerabilities.

Objective:

Participants are tasked with identifying and documenting vulnerabilities, security issues, and potential privacy risks within a selection of Google Play Store approved applications. The goal is to develop tools, techniques, and PoC that can aid in the continuous improvement of app security and user safety.

Specific Challenges:

• Vulnerability Discovery
• Privacy Analysis
• Functional Issues and Exploits

Expected Outcome:

• A detailed report outlining the discovered vulnerabilities, privacy concerns, and functional issues in google approved and authentic apps. The target apps would be Banking apps, mParivahan, DigiYatra, UMANG, eshram, DigiLocker, COWIN, ,esanjeevani, ABHA and similar apps.
• Tools or scripts developed for vulnerability analysis.

Problem Statement:

The digital landscape is increasingly plagued by sophisticated fraud tactics, ranging from deceptive messages and spam calls to malicious app notifications and manipulative advertisements. These attacks erode user trust, compromise personal data, and inflict financial losses. This hackathon challenges participants to develop innovative solutions for detecting, preventing, and mitigating fraud across various digital communication channels.

Objective:

Participants will design and implement systems that can effectively identify and counteract fraudulent activities within the scope of messages (SMS, instant messaging), calls (voice, VoIP), app notifications, advertisements, and spam. Though rooting an Android device is not necessarily required to execute these tasks. However, the approach depends on the level of access and data analysis required. The focus is on building robust and adaptable solutions that can stay ahead of evolving fraud techniques.

Specific Challenges:

• Message Fraud Detection
• Call Fraud Detection
• App Notification Fraud
• Advertisement Fraud
• Email filters
• Link Analysis

Expected Outcome:

• A working prototype or proof-of-concept demonstrating the developed anti-fraud solution.

Problem Statement:

Military personnel require highly secure and private communication channels for mission-critical operations. However, existing messaging apps are vulnerable to interception, metadata leaks, and forensic recovery, posing significant national security risks. Even encrypted messaging platforms can leak metadata, allowing adversaries to analyze communication patterns and identify sensitive mission details.

The challenge is to develop a military-grade, metadata-resistant messaging application that ensures encryption, self-destructing messages.

Objectives:

• Implement Encryption to protect messages.
• Ensure metadata-resistant communication, preventing adversaries from analyzing sender-receiver relationships.
• Enable self-destructing messages that leave no digital traces after they are read.

Expected Outcome:

• Advanced Encryption & Privacy Features.
• Self-Destructing & Tamper-Proof Messaging.

Existing Android debugging tools, both open-source and commercial, have limitations in automation, real-time performance tracking, and integration with modern development workflows. Commercial tools provide advanced features but are often expensive and proprietary, restricting accessibility. There is a need for an advanced open-source debugging tool that surpasses existing solutions by incorporating cutting-edge features, AI-powered automation, and deep system analytics while ensuring seamless integration with Android development environments.

Objectives

The goal is to develop a feature-rich, open-source debugging tool exclusively for Android that provides superior debugging capabilities compared to commercial tools. The solution should include:

• Advanced Debugging & Logging: Real-time log filtering, crash analysis, and event tracing.
• AI-Powered Issue Detection: Machine learning models to predict, detect, and resolve common bugs automatically.
• Performance Insights: CPU, memory, and network usage tracking with anomaly detection.
• Automated Error Resolution: AI-assisted suggestions and auto-fix capabilities for common coding errors.
• Seamless Integration: Compatibility with Android Studio, Jetpack tools, and CI/CD pipelines.
• Security & Privacy Focus: Ensure debugging logs and analytics do not expose sensitive user data.
• Scalability & Extensibility: Allow plugin-based enhancements for future debugging requirements.

Expected Outcome:

• A fully functional open-source debugging tool for Android, surpassing existing commercial options in efficiency, automation, and usability.